A blueprint for a multi-disease, multi-domain Bayesian adaptive platform trial incorporating adult and paediatric subgroups: The Staphylococcus aureus Network Adaptive Platform trial

Robert K. Mahar, Anna McGlothlin, Michael Dymock, Todd C. Lee, Roger J. Lewis, Thomas Lumley, Jocelyn Mora, David J. Price, Benjamin R. Saville, Tom Snelling, Rebecca Turner, Steven A. Webb, Joshua S. Davis, Steven Y. C Tong, Julie A. Marsh

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4 Citations (Scopus)
56 Downloads (Pure)

Abstract

The Staphylococcus aureus Network Adaptive Platform (SNAP) trial is a multifactorial Bayesian adaptive platform trial that aims to improve the way that S. aureus bloodstream infection, a globally common and severe infectious disease, is treated. In a world first, the SNAP trial will simultaneously investigate the effects of multiple intervention modalities within multiple groups of participants with different forms of S. aureus bloodstream infection. Here, we formalise the trial structure, modelling approach, and decision rules that will be used for the SNAP trial. By summarising the statistical principles governing the design, our hope is that the SNAP trial will serve as an adaptable template that can be used to improve comparative effectiveness research efficiency in other disease areas. Trial registration NCT05137119 . Registered on 30 November 2021.

Original languageEnglish
Article number795
Pages (from-to)1-15
Number of pages15
JournalTrials
Volume24
Issue number1
DOIs
Publication statusPublished - Dec 2023

Bibliographical note

Funding Information:
This work is supported by the Australian National Health and Medical Research Council (NHMRC) (1184238, 2014900), the Medical Research Future Fund (2017301), the Canadian Institutes of Health Research (451092), the Health Research Council of New Zealand (20/344), the Athlae Lyon/Starship Foundation Trust (ASF2144_WEBB), the National Medical Research Council (CTGIIT21nov-0002), and the United Kingdom National Institute for Health Research (NIHR133719). Rebecca Turner was supported by the UK Medical Research Council (Programme MC_UU_00004/07). This study/project is funded by the NIHR [NIHR133719]. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

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